Guillaume Maze
Research Scientist at IFREMER
Brest, Brittany, France
Summary
👤
Senior🎓
Top SchoolGuillaume Maze is a research scientist with a PhD in physical oceanography and over a decade at IFREMER studying ocean dynamics and climate interactions. He blends deep-domain expertise with practical software skills, contributing to open-source tools like OceanParcels by streamlining packaging and release processes for a widely used Lagrangian particle simulator. Based in Brest, Brittany, he is passionate about mining ocean "big data" to reveal underlying machinery and translate complex datasets into reproducible research. Colleagues know him for pairing rigorous academic training with pragmatic engineering—often tackling release engineering and reproducibility tasks that make computational science more reliable.
10 years of coding experience
Master, Physical Oceanography, Master, Physical Oceanography at Université de Bretagne OccidentalePhD, Physical oceanography and climatology, PhD, Physical oceanography and climatology at UPMC
English
Stackoverflow
53reputation
1kreached
0answers
2questions
Github Skills (12)
packaging10
python10
project-configuration10
setuptools10
modeling9
ocean-modelling9
particle8
statistics6
apache-spark6
pyspark6
flask6
ubuntu6
Programming languages (15)
Github contributions (5)
OceanParcels/Parcels
Apr 2022 - May 2022
Main code for Parcels (Probably A Really Computationally Efficient Lagrangian Simulator)
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 reviews, 21 commits, 1 PR in 19 days
Contributions summary:Guillaume primarily focused on modifying the `setup.py` file, indicating involvement in project configuration and packaging. They updated the version number multiple times, including a transition from a development (dev) version. The user also incorporated a long description from the README and transitioned to using `use_scm_version`. These changes suggest they were focused on preparing the project for release and streamlining the build process.
parcelssimulationsimulatoratmosphereplanets
obidam/pyxpcm
Nov 2018 - Jan 2023
A Python implementation of Profile Classification Modelling (PCM) for xarray
Contributions:197 commits, 36 PRs, 118 pushes in 4 years 2 months
pythonpython-implementationpcmmachine-learningmodelling
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